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    施阳教授学术报告通知
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    报告人:施阳教授(IEEE Fellow, ASME Fellow,加拿大维多利亚大学教授)

    报告题目:Model Predictive Control (MPC)for Autonomous Vehicles: Theory and Applications

    报告人介绍:Yang SHIreceived the B.Sc. degree and Ph.D. degree both in the School of Marine Engineering at NorthwesternPolytechnical              University, Xi’an, in 1994 and 1998, respectively. He then received the Ph.D. degree in electrical and computerengineering from theUniversity of Alberta, Edmonton, AB, Canada, in 2005. From 2005 to 2009, he was an Assistant Professor and Associate Professor in theDepartment of Mechanical              Engineering, University of Saskatchewan, Saskatoon, Saskatchewan, Canada. In 2009, he joined the Universityof Victoria, and now he is a Professor in the Department of Mechanical Engineering, University of Victoria, Victoria, British Columbia,Canada. His current research interests include networked   and distributed systems, model predictive control (MPC), cyber-physicalsystems(CPS), robotics and mechatronics, navigation and control of                   autonomous systems (AUV and UAV), and energy system applications.

    Dr. Shi received the University of Saskatchewan Student Union Teaching Excellence Award in 2007. At the University of Victoria, he received the Faculty ofEngineering              Teaching Excellence in 2012, and the Craigdarroch Silver Medal for Excellence in Research in 2015. He received the JSPS Invitation Fellowship (short-term) in 2013 and the            Humboldt Research Fellowship for Experienced Researchers in 2017. His co-authored paper was awarded the 2017IEEE Transactions on Fuzzy SystemsOutstanding Paper Award. He is the founding Vice Chair of IEEE IES Technical Committee on Industrial Cyber-Physical Systems. Currently, he serves as Co-Editor-in-Chief ofIEEETrans. Industrial Electronics; he is Associate Editor forAutomatica, IEEE Trans. Control Systems Technology,IEEE/ASME Trans. Mechatrnonic, IEEE Trans. Cybernetics. He is a Fellow of IEEE, ASME and        CSME, and a registered Professional Engineer in British Columbia, Canada.

    报告内容:Research and development of autonomous vehicles (AUV, UAV, etc)have received great attention in the control and robotics communities due to their wide application areas.Model predictive control (MPC) is a promising paradigm for high-performance and cost-effective control of such dynamic systems, especially when some practical constraints   need to be satisfied. This talk will firstly introduce an integrated path planning and tracking control for an autonomous underwater vehicle. Secondly, an event-based rendezvous        control strategy for asynchronous multi-agent systems and experimental results will be presented.Finally, some future works will be discussed.

    邀 请 人:李慧平

    报告时间:2018年6月1日上午10点

    报告地点:bet.365最快线路检测中心主楼东配楼